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Nanosilica composite asphalt mixtures performance-based design and optimisation using response surface methodology

机译:纳米二氧化硅复合沥青混合料基于性能的响应面方法设计与优化

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摘要

In recent times, the use of polymer nanocomposite for construction of durable asphalt mixtures has been gradually replacing the application of polymer-modified binders. In this investigation, the optimisation of nanosilica and binder content for nanocomposite-modified asphalt mixtures has been examined to obtain optimum quantities for high-performance properties. Response Surface Methodology (RSM) was applied for the optimisation based on central composite design (CCD). Interaction effects of two independent variable factors, nanosilica and binder content, on nanocomposite strength, volumetric and performance properties were analysed using CCD design. The responses were analysed using RSM, and models were developed to fit the experimental results for prediction of the responses. The results indicate that the individual effects of nanosilica and binder content are both important for performance improvement. Based on the numerical optimisation, 1.5% nanosilica and 5% binder content were found to be the optimal values. Also, the mean error obtained from optimisation results are all less than 5% for all responses, indicating that predicted values agree with experimental results and the developed models fit to the experimental results. Furthermore, the study concluded that for composite asphalt mixture design with high-performance properties, optimisation using RSM is a very good approach.
机译:近年来,使用聚合物纳米复合材料制造耐久沥青混合物已逐渐取代了聚合物改性粘合剂的应用。在这项研究中,已经对纳米复合改性沥青混合物中纳米二氧化硅和粘合剂含量的优化进行了研究,以获得高性能性能的最佳量。响应面方法论(RSM)用于基于中央复合设计(CCD)的优化。使用CCD设计分析了纳米二氧化硅和粘合剂含量这两个独立变量因素的相互作用对纳米复合材料强度,体积和性能的影响。使用RSM分析了响应,并开发了适合实验结果的模型以预测响应。结果表明,纳米二氧化硅和粘合剂含量的单独影响对于性能改善都是重要的。基于数值优化,发现1.5%的纳米二氧化硅和5%的粘合剂含量是最佳值。而且,从优化结果中得出的所有响应的平均误差均小于5%,这表明预测值与实验结果一致,并且所开发的模型符合实验结果。此外,研究得出结论,对于具有高性能特性的复合沥青混合料设计,使用RSM进行优化是一种非常好的方法。

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